title: QSAR modeling of nanomaterials.
abstract: A thorough understanding of the relationships between the physicochemical properties and the behavior of nanomaterials in biological systems is mandatory for designing safe and efficacious nanomedicines. Quantitative structure-activity relationship (QSAR) methods help to establish such relationships, although their application to model the behavior of nanomaterials requires new ideas and applications to account for the novel properties of this class of compounds. This review presents and discusses a number of recent inspiring applications of QSAR modeling and descriptors for nanomaterials with a focus on approaches that attempt to describe the interactions that take place at the nano/bio-interface. The paradigm shift from classic to nano-QSAR currently relies on both theoretically and experimentally derived descriptors, and the solutions adopted for modeling are diverse, mirroring the structural and behavioral heterogeneity of nanomaterials. Research should focus on both aspects of a QSAR study: the generation of nanospecific theoretical descriptors and experimental test data.
authors.affiliation: Systems Toxicology Unit, Institute for Health and Consumer Protection, Joint Research Centre, European Commission, Ispra, Varese, Italy. Enrico.Burello@ec.europa.eu
authors.forename: Enrico
authors.initials: E
authors.lastname: Burello
authors.forename: Andrew P
authors.initials: AP
authors.lastname: Worth
mesh_terms: D002384:Catalysis; D008956:Models, Chemical; D049329:Nanostructures / Q000737:chemistry*; D037742:Nanotubes, Carbon; D021281:Quantitative Structure-Activity Relationship; D011789:Quantum Theory
chemical_list: D037742:Nanotubes, Carbon